AI Worksheet: Training Data, Model, Prediction

AI for students lesson 3: Training data, model and prediction · Set 980 · 40 questions

AI tip (Data → model → prediction): Training data = the examples (500 labelled leaf photos, old emails marked spam). The model = the learned patterns that training builds. A prediction = the model’s answer about something NEW (naming a new leaf, flagging a new email). The order is always data → model → prediction.

1. 1.📦 What happens during training? (a) it prints labels (b) it learns patterns (c) it charges up (d) it takes photos
2. 2.True or false: “the learned patterns” is a prediction. (a) False (b) True
3. 3.🔁 Training data, the model or a prediction: “500 labelled leaf photos”? (a) a prediction (b) training data (c) the model
4. 4.True or false: “flagging a new email” is the model. (a) False (b) True
5. 5.Which of these is a prediction? (a) 500 labelled leaf photos (b) recorded spoken words (c) the trained program (d) flagging a new email
6. 6.⏩ In machine learning, which comes first: tomorrow’s rain guess or the trained program? (a) tomorrow’s rain guess (b) the trained program
7. 7.⏩ In machine learning, which comes first: what training builds or typing a new spoken word? (a) what training builds (b) typing a new spoken word
8. 8.⏩ In machine learning, which comes first: what training builds or naming a new fruit photo? (a) what training builds (b) naming a new fruit photo
9. 9.🔁 What is the right order? (a) prediction, data, model (b) model, prediction, data (c) data, model, prediction (d) data, prediction, model
10. 10.True or false: “the trained program” is a prediction. (a) True (b) False
11. 11.🔮 A trained model sees a new photo and says “mango”. This is… (a) a label error (b) training data (c) a password (d) a prediction
12. 12.True or false: “what training builds” is the model. (a) False (b) True
13. 13.True or false: “tomorrow’s rain guess” is the model. (a) True (b) False
14. 14.⏩ In machine learning, which comes first: tomorrow’s rain guess or what training builds? (a) tomorrow’s rain guess (b) what training builds
15. 15.🔁 Training data, the model or a prediction: “what training builds”? (a) the model (b) training data (c) a prediction
16. 16.Which of these is training data? (a) old emails marked spam (b) naming a new fruit photo (c) naming a new leaf (d) the learned patterns
17. 17.🔁 Training data, the model or a prediction: “tomorrow’s rain guess”? (a) the model (b) training data (c) a prediction
18. 18.Which of these is a prediction? (a) the learned patterns (b) old emails marked spam (c) typing a new spoken word (d) the trained program
19. 19.True or false: “500 labelled leaf photos” is training data. (a) False (b) True
20. 20.Which of these is training data? (a) tomorrow’s rain guess (b) labelled fruit photos (c) typing a new spoken word (d) the trained program
21. 21.🔁 Training data, the model or a prediction: “flagging a new email”? (a) training data (b) a prediction (c) the model
22. 22.⏩ In machine learning, which comes first: flagging a new email or 500 labelled leaf photos? (a) flagging a new email (b) 500 labelled leaf photos
23. 23.Which of these is a prediction? (a) old emails marked spam (b) recorded spoken words (c) what training builds (d) naming a new leaf
24. 24.⏩ In machine learning, which comes first: the learned patterns or flagging a new email? (a) the learned patterns (b) flagging a new email
25. 25.🔁 Training data, the model or a prediction: “recorded spoken words”? (a) the model (b) a prediction (c) training data
26. 26.Which of these is training data? (a) the learned patterns (b) naming a new leaf (c) naming a new fruit photo (d) past weather records
27. 27.Which of these is a prediction? (a) labelled fruit photos (b) tomorrow’s rain guess (c) old emails marked spam (d) what training builds
28. 28.True or false: “typing a new spoken word” is the model. (a) True (b) False
29. 29.⏩ In machine learning, which comes first: flagging a new email or the trained program? (a) flagging a new email (b) the trained program
30. 30.⏩ In machine learning, which comes first: typing a new spoken word or the trained program? (a) typing a new spoken word (b) the trained program
31. 31.Which of these is training data? (a) recorded spoken words (b) typing a new spoken word (c) what training builds (d) naming a new leaf
32. 32.🧪 Why test a model on NEW examples? (a) to see if it works (b) to change its name (c) to make it slower (d) to delete its data
33. 33.🔁 Training data, the model or a prediction: “naming a new leaf”? (a) training data (b) a prediction (c) the model
34. 34.Which of these is training data? (a) 500 labelled leaf photos (b) naming a new fruit photo (c) what training builds (d) the learned patterns
35. 35.🔁 Training data, the model or a prediction: “old emails marked spam”? (a) training data (b) the model (c) a prediction
36. 36.⏩ In machine learning, which comes first: old emails marked spam or flagging a new email? (a) old emails marked spam (b) flagging a new email
37. 37.⏩ In machine learning, which comes first: the trained program or 500 labelled leaf photos? (a) the trained program (b) 500 labelled leaf photos
38. 38.Which of these is a prediction? (a) labelled fruit photos (b) 500 labelled leaf photos (c) old emails marked spam (d) naming a new fruit photo
39. 39.⏩ In machine learning, which comes first: tomorrow’s rain guess or recorded spoken words? (a) tomorrow’s rain guess (b) recorded spoken words
40. 40.Which of these is the model? (a) the learned patterns (b) flagging a new email (c) naming a new leaf (d) tomorrow’s rain guess

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